The Neon MCP Server is an open - source tool that allows users to interact with the Neon Postgres database through natural language, simplifying database management tasks.

MCP server integrating Neovim and Claude for AI-assisted text editing

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

An MCP server project for threat information collection, supporting the collection of threat intelligence within a specified time range through command - line tools and integration with the Neo4j knowledge graph.

This project implements the MCP server for the Typecast API, providing a standardized way for MCP clients to interact with the text-to-speech service.

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.

A knowledge graph server based on Neo4j, integrating AI models and the MCP protocol, supporting dynamic knowledge management and semantic search.

The MCP Neo4j Knowledge Graph Memory Server is an enhanced memory storage system based on the Neo4j graph database, providing high-performance knowledge graph storage and retrieval capabilities for AI assistants.

An implementation of a knowledge graph management MCP server based on Neo4j, providing standard interfaces for the storage and retrieval of graph databases.

The MCP Neo4j Server is a middleware that connects the Neo4j graph database with the Claude desktop, supporting graph database operations through natural language, including querying, creating nodes and relationships, etc.

Implementation of the NeoDB MCP Server, providing tools for interacting with the social book cataloging service NeoDB

Adaptive Graph of Thoughts is an intelligent scientific reasoning framework based on the Neo4j graph database, which realizes complex scientific reasoning tasks through graph structure and supports integration with AI applications such as Claude Desktop.

This is a lightweight Model Control Protocol (MCP) server based on Cloudflare Workers, used to connect agents (such as Cursor) with the Neon REST API, and supports developers to extend functions through tools.

The Neo4j MCP Server is a knowledge graph storage service that supports environment variable configuration and is compatible with the Model Context Protocol.

Neo N3 Model Context Protocol (MCP) is a standardized interface protocol for the interaction between AI agents and applications and the Neo N3 blockchain. It provides an easy - to - use server implementation, supports direct running via npx, and does not require manual environment configuration. The protocol includes functions such as blockchain information query, wallet management, asset transfer, and smart contract interaction, and additionally provides an HTTP server to expose functions in the form of RESTful APIs.

A knowledge graph memory server based on Neo4j, providing efficient storage and retrieval capabilities for AI interactions

Neo4j MCP server implementation that manages graph database operations through the Model Context Protocol, is compatible with Cursor and Claude Desktop, and supports Cypher query execution.

A knowledge graph storage and retrieval service based on Neo4j, implemented as a server for the MCP protocol, supporting database connection configuration through environment variables and providing project - specific knowledge graph management functions.

NeoCoder is an AI programming assistance system based on the Neo4j knowledge graph. It enables the interaction between AI assistants and the knowledge graph through an MCP server, providing standardized coding workflows, dynamic instruction manuals, and project memory functions. The system supports multiple operation modes (incarnations), including basic programming, scientific research, decision - making analysis, complex system modeling, knowledge graph management, and code analysis. It stores workflow templates and execution records in Neo4j to ensure the traceability and standardization of the coding process.

The Unified MCP Tool Graph is a research - driven project that provides an intelligent infrastructure layer for large language models (LLMs) and agent AI systems to dynamically retrieve the most relevant tools by aggregating and structuring tool APIs from different MCP servers into a centralized Neo4j graph database.

A prototype of a knowledge service MCP server based on the Neo4J database that can extract knowledge from Neo4J to answer questions and support use through clients such as Cursor.

A lightweight MCP server based on Cloudflare Workers for connecting agents (such as Cursor) to the Neon REST API, supporting tool extensions.

Neon MCP Server is an open-source tool that allows users to interact with Neon Postgres databases through natural language, simplifying database management tasks such as creating projects, branches, queries, and migrations.

A Neo4j database operation service based on the MCP framework, providing asynchronous database operation interfaces and proxy configuration support

A model context protocol (MCP) SDK implemented in Python for building standard servers and clients interacting with LLMs

The Neon MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with Neon database services and supports operating database projects, branches, table structures, and migrations through natural language.

CodeRAG is a tool that transforms codebases into intelligent knowledge graphs. It builds a code structure diagram through Neo4J, supports multi - language analysis, provides code quality metrics and AI integration, and helps with code review, architecture analysis, and refactoring.

An interactive chat interface project for querying Neo4j databases through natural language, integrating Chainlit, Neo4j MCP, and Claude LLM technologies.

A Python - based service application that provides functions for getting metadata from SharePoint and retrieving entities from the Neo4j knowledge graph through semantic similarity search.

MCP Neo4j Server is a middleware that connects the Neo4j graph database to Claude Desktop and supports graph database operations through natural language interaction.

A knowledge graph builder that uses a local AI model to convert text or web page content into structured knowledge graphs, supporting large-scale content processing, real-time visualization, and integration with Neo4j and Qdrant databases.

A project to import the Precision Medicine Knowledge Graph (PrimeKG) into the Neo4j database for biomedical data analysis and exploration.

This project uses the Waku framework and React server components to demonstrate how to connect to the Anthropic API through Neon's MCP server to implement a custom chat interface.

The Neo4j Appointment System MCP Server based on the Neo4j graph database provides complete functions such as appointment management, customer management, and employee management, and supports MCP tools for large - language models.

A terminal command execution and file management system based on RESTful API, which provides process control, file operations, and system management functions for AI assistants.

This project demonstrates how to integrate the Anthropic API through Neon's MCP server and customize the chat interface using Waku and React Server Components.

The Neon MCP Server is a server based on the Model Context Protocol (MCP) standard, used to manage the context interaction between large - language models (LLMs) and the Neon database. It supports performing database operations through natural language instructions, such as creating projects, managing branches, running SQL queries, and migrations.

The Neo4j MCP project connects LLMs with external systems through a standardized protocol to enable natural - language operation of Neo4j databases, knowledge graph storage, and Aura cloud service management.

VectorCode is a code repository indexing tool designed to optimize the prompt construction of large programming language models (LLMs) by indexing and providing code repository information. It supports multiple embedding engines, provides command - line tools and Neovim plugins to help developers more efficiently use project context to improve the quality of model output.